Evidence map›Paper›PMID 36805369›Full record

ArticleAmerican journal of preventive medicine2023

Regular Cannabis Use During the First Year of the Pandemic: Studying Trajectories Rather Than Prevalence.

Jungeun Olivia Lee, Woo Jung Lee, Alexandra F Kritikos, Haomiao Jin, Adam M Leventhal, Eric R Pedersen, Junhan Cho, Jordan P Davis, Arie Kapteyn, John P Wilson and 1 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of preventive medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 2 countries.

Jungeun Olivia LeeSuzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, California; Institute for Addiction Science, University of Southern California, Los Angeles, California. Electronic address: lee363@usc.edu.
Woo Jung LeeSuzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, California.
Alexandra F KritikosLeonard D. Schaeffer Center for Health Policy and Economics, Sol Price School of Public Policy, University of Southern California, Los Angeles, California.
Haomiao JinSchool of Health Sciences, University of Surrey, Guildford, United Kingdom.
Adam M LeventhalInstitute for Addiction Science, University of Southern California, Los Angeles, California; Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, Los Angeles, California.
Eric R PedersenInstitute for Addiction Science, University of Southern California, Los Angeles, California; Department of Psychiatry and Behavioral Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, California.
Junhan ChoInstitute for Addiction Science, University of Southern California, Los Angeles, California; Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, Los Angeles, California.
Jordan P DavisSuzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, California; Institute for Addiction Science, University of Southern California, Los Angeles, California.
Arie KapteynDornsife Center for Economic and Social Research, University of Southern California, Los Angeles, California.
John P WilsonDepartment of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, Los Angeles, California; Dornsife Spatial Sciences Institute, University of Southern California, Los Angeles, California; Department of Civil and Environmental Engineering and Computer Science, Viterbi School of Engineering and Computing, University of Southern California, Los Angeles, California; Department of Sociology, Dana and David Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California; School of Architecture, University of Southern California, Los Angeles, California.
Rosalie L PaculaInstitute for Addiction Science, University of Southern California, Los Angeles, California; Leonard D. Schaeffer Center for Health Policy and Economics, Sol Price School of Public Policy, University of Southern California, Los Angeles, California.
University of Southern California · USUniversity of Surrey · GB

Funding

Enhancing engagement and participation of marginalized community residents in the UASU01AG077280 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Arie Kapteyn · 2023 to 2026
$50.9M
Toward Next Generation Data on Health and Life Changes at Older Ages: Administrative Supplement to track the effects of the COVID-19 pandemic on American familiesU01AG054580 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KAPTEYN, ARIE · 2017 to 2022
$27.3M
Tobacco Use Treatment Research for Vulnerable PopulationsK24DA048160 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Adam Matthew Leventhal · 2019 to 2026
$1.4M
NIA NIH HHS U01 AG054580NIA NIH HHS U01 AG077280NIDA NIH HHS K24 DA048160
6 · The paper itself

Abstract

introductionCannabis use in the U.S. rose early in the COVID-19 pandemic, but it is unclear whether that rise was temporary or permanent. This study estimated the nature and sociodemographic correlates of U.S. adult subpopulations regularly using cannabis by examining weekly trajectories of use during the first year of the pandemic.

methodsData came from the Understanding America Study, a nationally representative panel of U.S. adults (N=8,397; March 10, 2020-March 29, 2021). A growth mixture model was deployed to identify subgroups with similar regular cannabis use. Sociodemographic correlates of subgroups were examined using multinomial logistic regression.

resultsFour cannabis-use groups were identified. Most participants did not regularly use cannabis (no regular use; 81.7%). The other groups increased regular use until April 2020 but then diverged. Some (7.1%) decreased thereafter, whereas others (3.4%) maintained their elevated use until October 26, 2020 before decreasing. The last group (7.7%) sustained their elevated use throughout. Individuals aged between 18 and 39 years, unmarried, living in poverty, without a college degree, and with longer unemployment or underemployment spells had higher odds of being in the other groups with more weekly use than in the no-regular-use group.

conclusionsThe analyses revealed population subgroups with prolonged regular cannabis use and a disproportionate concentration of socioeconomically vulnerable members of society in these subgroups. These findings elucidate important heterogeneity in the subpopulations using cannabis, highlighting the urgent need to tailor public health programs for subgroups that may have unique service needs.

Indexed as

CannabisCOVID-19AdolescentAdultHumansPandemicsPrevalenceYoung Adult

Identifiers

PMID36805369
PMCPMC10200732
OpenAlexW4321350278

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.